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cs.AI2026
Sep-Latent: Separator Tokens as Natural Compression Anchors for Implicit Reasoning
Yinlong Xu, Jianfeng Huang, Zhengdong Zhou +5
Large Language Models (LLMs) have demonstrated remarkable success in complex reasoning through explicit Chain-of-Thought (CoT), but the associated computational overhead and token…
cs.AI2026
BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE
Juntong Wu, Jialiang Cheng, Qishen Yin +5
Mixture-of-Experts (MoE) architectures enhance the efficiency of large language models by activating only a subset of experts per token. However, standard MoE employs a fixed Top-K…